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Download full textvon Zastrow, Claus; Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…
Descriptors: Data Analysis, Student Characteristics, Data Collection, Barriers
Direct linkKwenda, Maxwell – College Teaching, 2011
This study examines factors affecting students' performances in an Introductory Sociology course over five semesters. Employing simple and ordered logit regression models, the author explains final grades by focusing on individual demographic and educational characteristics that students bring into the classroom. The results show that a student's…
Descriptors: Evidence, Grade Point Average, Academic Achievement, Program Effectiveness
Stratton, Leslie S.; O'Toole, Dennis M.; Wetzel, James N. – Research in Higher Education, 2007
We use data from the 1990/1994 Beginning Post-Secondary Survey to determine whether the factors associated with long-term attrition from higher education differ for students who initially enrolled part-time as compared to for students who initially enrolled full-time. Using a two-stage sequential decision model to analyze the initial enrollment…
Descriptors: Student Characteristics, Enrollment Trends, Student Attrition, Dropout Research
Peer reviewedde Francesco, Corrado – European Journal of Education, 1986
Overreliance on enrollment figures for comparative analysis of higher education systems may create misunderstanding because data often lump together what is institutionally different, and the notion of "higher education student" may conceal completely different conditions, even within the same sector. (MSE)
Descriptors: Comparative Analysis, Comparative Education, Data Analysis, Data Interpretation
Mar, Harvey H.; Sall, Nancy – 2000
This final report describes the activities and outcomes of a project designed to develop and establish a psychoeducational assessment model to enhance the ability of educators, psychologists, and learning specialists to design and conduct meaningful evaluations of students who are deaf-blind. By focusing on psychoeducational assessment, this…
Descriptors: Data Interpretation, Deaf Blind, Elementary Secondary Education, Evaluation Methods
Sirotnik, Kenneth A.; And Others – 1985
This paper presents a study of the contrast of social and clinical perspectives on the selection and use of information by school staff, including: (1) an outline of the context and activities of the study; (2) a definition and discussion of the basic distinction between social and clinical perspectives; (3) an examination of case material…
Descriptors: Academic Achievement, Computer Oriented Programs, Data Interpretation, Databases
